Efficient Federated Meta-Learning Over Multi-Access Wireless Networks-Reference-Cited by-同舟云学术

Efficient Federated Meta-Learning Over Multi-Access Wireless Networks

Author:

Yue Sheng¹,Ren Ju²^ORCID,Xin Jiang¹,Zhang Deyu¹^ORCID,Zhang Yaoxue²,Zhuang Weihua³^ORCID

Affiliation:

1. School of Computer Science and Engineering, Central South University, Changsha, China

2. Department of Computer Science and Technology, BNRist, Tsinghua University, Beijing, China

3. Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada

Funder

National Natural Science Foundation of China

Higher Education Discipline Innovation Project

National Key Research and Development Program of China

Natural Science Foundation of Hunan Province, China

Young Talents Plan of Hunan Province of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

Reference45 articles.

1. Efficient federated meta-learning over multi-access wireless networks;yue;arXiv 2108 06453,2021

2. On the convergence theory of gradient-based model-agnostic meta-learning algorithms;fallah;Proc AISTATS,2020

3. Differentially private meta-learning;li;Proc ICLR,2019

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